Proteomic signatures enhance risk prediction for both common and rare diseases

Researchers have developed sparse prediction models combining plasma proteins and clinical data to predict the 10-year risk of 218 diseases. The study, involving over 41,000 participants, highlights the enhanced predictive power of proteomic signatures.

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